Prognostic significance of p53 gene alterations in node-negative breast cancer

1993 ◽  
Vol 26 (3) ◽  
pp. 225-235 ◽  
Author(s):  
Richard M. Elledge ◽  
Suzanne A. W. Fuqua ◽  
Gary M. Clark ◽  
Pascal Pujol ◽  
D. Craig Allred ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Significance ◽  
P53 Gene ◽  
Node Negative ◽  
Node Negative Breast Cancer ◽  
Gene Alterations

scholarly journals Long-term prognostic significance of HER-2/neu in untreated node-negative breast cancer depends on the method of testing

2005 ◽  
Vol 7 (2) ◽  
Author(s):  
Marcus Schmidt ◽  
Barbara Lewark ◽  
Nikolai Kohlschmidt ◽  
Christiane Glawatz ◽  
Erik Steiner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Significance ◽  
Node Negative ◽  
Node Negative Breast Cancer ◽  
Her 2

Prediction of late metastasis in node-negative breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10551-10551
Author(s):  
Marcus Schmidt ◽  
Birte Hellwig ◽  
Mathias Gehrmann ◽  
Heinz Koelbl ◽  
Daniel Boehm ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Gene Array ◽  
Breast Cancer Patients ◽  
Node Negative ◽  
Node Negative Breast Cancer ◽  
Increased Risk ◽  
Late Metastasis

10551 Background: Prediction of late metastasis is of clinical relevance in breast cancer. However, systematic genome-wide studies to identify genes associated with increased risk of metastasis 5 or more years after surgery are scarce. Methods: We examined the natural course of disease in three previously published cohorts (Mainz, Rotterdam, Transbig) including 766 node-negative breast cancer patients with gene array data who did not receive systemic chemotherapy in the adjuvant setting. We established a Cox regression based method adjusted for multiple testing that identified genes predicting late metastasis (5 or more years after surgery). Only those genes were accepted that showed similar results in all three cohorts. Metastasis-free survival (MFS) was analyzed with univariate and multivariate Cox regression. Results: We identified 9 genes [ABCC5 (Hazard Ratio (HR) 2.19, p=0.003), EDDM3B (HR 3.58, p=0.044), RAD23B (HR 0.37, p<0.001), XYLT2 (HR 2.19, p=0.027), DDX18 (HR 0.35, p=0.006), GPBP1L1 (HR 0.20, p=0.018), UBB (HR 9.73, p=0.025), RPS24 (HR 0.20, p=0.050), GPC1 (HR 2.36, p=0.013)] predicting late metastasis. These genes retained their independent prognostic significance after adjustment for established clinical factors (age, tumor size, grade, hormone receptor status, HER2) and biological motives like estrogen receptor, proliferation, B or T cells. These late-type genes are largely associated with resistance to hypoxia, apoptosis and DNA damage, suggesting that they might contribute to persistence of disseminated tumor cells. Conclusions: Genes associated with late metastasis offer a perspective to identify breast cancer patients suitable for additional and prolonged therapies.

Influence of Endocrine-Related Factors on Response to Perioperative Chemotherapy for Patients With Node-Negative Breast Cancer

2001 ◽  
Vol 19 (21) ◽  
pp. 4141-4149 ◽  
Author(s):  
Marco Colleoni ◽  
Shari Gelber ◽  
Alan S. Coates ◽  
Monica Castiglione-Gertsch ◽  
Richard D. Gelber ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Adjuvant Treatment ◽  
Steroid Hormone ◽  
Menopausal Status ◽  
Prognostic Significance ◽  
Steroid Hormone Receptors ◽  
Perioperative Chemotherapy ◽  
Primary Tumors ◽  
Node Negative ◽  
Node Negative Breast Cancer

PURPOSE: We investigated tumor- and patient-related features that might influence the response to perioperative chemotherapy (PeCT) compared with no adjuvant therapy for patients with node-negative breast cancer. PATIENTS AND METHODS: A total of 1,275 patients were randomized to either no adjuvant treatment (427 patients) or PeCT (848 patients). The following variables thought to have prognostic significance were evaluated: grade, tumor size, estrogen (ER) and progesterone receptor (PgR) content (absent; low, 1 to 9 fmol/mg cytosol protein; or positive, ≥ 10 fmol/mg cytosol protein), c-erbB-2 overexpression, menopausal status, and age. Cox proportional hazards regression models were used to assess the relative influence of these factors to predict the effect of PeCT on disease-free survival (DFS). Median follow-up was 13.5 years. RESULTS: The 10-year DFS percentage for 692 premenopausal patients did not significantly differ between the PeCT and no-adjuvant-treatment groups: 61% and 59%, respectively (relative risk [RR], 0.95; 95% confidence interval [CI], 0.75 to 1.20; P = .70). No predictive factors were identified. For 583 postmenopausal patients, 10-year DFS percentages for the groups were 63% and 58%, respectively (RR, 0.75; 95% CI, 0.58 to 0.93; P = .03). The absence of expression of ER, PgR, or both ER and PgR was the most important factor predicting improved outcome with PeCT among postmenopausal patients. The 10-year DFS percentages were 85% and 53% for the steroid hormone receptor–absent cohort of treated and untreated patients, respectively (RR, 0.18; 95% CI, 0.06 to 0.49; P = .0009). CONCLUSION: The role of PeCT should be explored for patients whose primary tumors do not express steroid hormone receptors, because it is likely that early initiation of treatment is exclusively relevant for such patients.

Prognostic significance of the chemokine CXCL13 in node-negative breast cancer

2016 ◽  
Vol 76 (10) ◽  
Author(s):  
K Almstedt ◽  
L van de Sandt ◽  
I Sicking ◽  
M Battista ◽  
AS Heimes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Significance ◽  
Node Negative ◽  
Node Negative Breast Cancer

Disparities in the prognostic significance of proliferation amongst different molecular subtypes in node-negative breast cancer.

2011 ◽  
Vol 29 (15_suppl) ◽  
pp. 10566-10566
Author(s):  
M. Schmidt ◽  
I. Petry ◽  
D. Boehm ◽  
A. Lebrecht ◽  
S. Gebhard ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Molecular Subtypes ◽  
Prognostic Significance ◽  
Node Negative ◽  
Node Negative Breast Cancer

Prognostic significance of Focal Adhesion Kinase (FAK) in node-negative breast cancer.

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. 552-552
Author(s):  
Marcus Schmidt ◽  
Leonie van de Sandt ◽  
Katrin Almstedt ◽  
Marco Johannes Battista ◽  
Anne-Sophie Heimes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Focal Adhesion Kinase ◽  
Focal Adhesion ◽  
Prognostic Significance ◽  
Node Negative ◽  
Node Negative Breast Cancer
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